Zapier’s security team had seen plenty of tools that promised automation, but most didn’t deliver what they needed—a solution that could autonomously carry complex investigations to completion.
Kuchera explains why the team found Dropzone AI appealing:
“Dropzone AI stood out because it worked like an analyst, not a rules engine. Unlike other automation tools, it isn’t a black box; analysts can see every query it runs and every piece of evidence it gathers, which builds trust in the results.”
Prior to deploying Dropzone, Alana Kim, Sr. Security Incident Response Engineer at Zapier, had built a service to enrich alerts but it required a lot of ongoing effort to maintain. Dropzone AI met all the requirements of that project and more.
“For me, the aha moment was when I was using the Ask a Question feature and saw how Dropzone pulled data from Okta, AWS, Google Workspace, and Panther to answer a question,” says Kim. “I didn’t have to go system by system; I could just ask, and Dropzone pulled it all together.”
The deployment was completed in two days. Dropzone integrates with Zapier’s core systems and pushes enriched investigations directly into Panther. They connected to their corporate Slack so that Dropzone can conduct AI interviews of users, when necessary.
The Zapier team appreciates Dropzone AI’s ability to learn details about the environment and business.
“We add details to context memory and the Dropzone AI system will take those into account during investigations,” says Kim. “For example, we can flag users who are traveling and Dropzone will raise the severity of related alerts.”
